output
20082026
most citedHyperspectral and Multispectral Image Fusion based on a Sparse Representation

709 citations

78 papers

cs.AI2026

Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model

Kaouther Mouheb, Amos Pomp, Antoine Manenti +9

Objectives: Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dut…

math.PR2025

On the instability of local learning algorithms: Q-learning can fail in infinite state spaces

Urtzi Ayesta, Sergey Foss, Matthieu Jonckheere +1

We investigate the challenges of applying model-free reinforcement learning algorithms, like online Q-learning, to infinite state space Markov Decision Processes (MDPs). We first i…

eess.SY2025

Data-Driven Control Of Power Converters

Marwan Soliman, Pauline Kergus, Diego Regruto +2

The fundamental role of power converters is to efficiently manage and control the flow of electrical energy, ensuring compatibility between power sources and loads. All these appli…

physics.acc-ph2025

Theoretical study of the ECRIPAC accelerator concept

Andrea Cernuschi, Thomas Thuillier, Laurent Garrigues

The Electron Cyclotron Resonance Ion Plasma ACcelerator (ECRIPAC) is an original concept for a plasma-based particle accelerator able to generate pulsed ion beams with adjustable e…

physics.acc-ph2025

Milestone toward an ECRIPAC accelerator demonstrator

Andrea Cernuschi, Thomas Thuillier, Laurent Garrigues

The Electron Cyclotron Resonance Ion Plasma ACcelerator (ECRIPAC) is an original accelerator concept proposed in the nineties for the generation of highly energetic pulsed ion beam…

cs.SD2025

Determined Blind Source Separation with Sinkhorn Divergence-based Optimal Allocation of the Source Power

Jianyu Wang, Shanzheng Guan, Nicolas Dobigeon +1

Blind source separation (BSS) refers to the process of recovering multiple source signals from observations recorded by an array of sensors. Common approaches to BSS, including ind…